Forward Deployed AI Engineer at Titan - $200K

TITAN; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

Titan is seeking an Forward Deployed AI Engineer to drive client-facing AI deployments with a focus on production-grade LLM agent architectures and enterprise integrations. This senior role combines deep technical execution with strategic client engagement, operating in a remote-capable startup environment.

You will own end-to-end delivery from scoping to deployment and measurement, working with hedge funds, healthcare, and manufacturing clients while benefiting from early equity opportunities

Qualifications

• Experience with large language model agent architectures and deployment.
• Experience integrating Microsoft 365 / Graph API for enterprise workflows.
• Ability to scope client engagements, govern projects, and ensure security requirements.

Responsibilities

• Own end-to-end delivery: scoping, building, deploying, and measuring outcomes for client engagements.
• Collaborate with clients to define requirements and align on security and governance standards.
• Deliver solutions that bridge AI capabilities with enterprise IT landscapes.

Skills

Production LLM architecture

Microsoft 365 / Graph API integrations

Client scoping & governance

Enterprise security mindset

End-to-end product ownership

Job description

Forward Deployed AI Engineer at Titan - $200K — Remote

This is a high-impact, early-stage role at a well-funded AI startup ($100M+ raised in under a year) targeting a genuinely large market. The \"Forward Deployed Engineer\" title signals a hybrid of deep technical execution and client-facing strategy — a profile increasingly valued across enterprise AI companies.

Compensation: The $150K–$200K base is competitive for a senior-to-staff engineer role in AI/SaaS, particularly one with a client-facing component. For context, similar FDE roles at Palantir or enterprise AI vendors typically range $160K–$220K total cash, so Titan's base lands at the lower-mid range — equity upside at this stage could be meaningful if the company executes.

• Production LLM agent architecture (Claude, ChatGPT, Copilot, MCP servers) — among the hottest skills in 2025
• Microsoft 365 / Graph API integrations — durable enterprise skill with broad demand
• Client scoping, governance, and enterprise security mindset — differentiates you from pure backend engineers
• End-to-end ownership: scoping → build → deploy → measure — compresses a full product lifecycle into each engagement

Culture signals: \"Extreme ownership,\" ship-fast mentality (working agent in 3 weeks vs. perfect one in 3 months), and direct founder access suggest a lean, high-accountability startup culture. Talent from Scale AI, Meta, and Two Sigma signals a high bar technically.

Green flags: Early equity opportunity, diverse client exposure (hedge funds, medtech, manufacturing), and a skills profile that will remain highly marketable. Watch for: Delivery pressure under fixed-fee engagements may create scope-creep stress; clarify how that's managed before accepting.

Titan is building the AI workforce for IT. We deploy AI agents across our portfolio of Managed Service Providers and enterprise customers: agents that monitor, triage, and resolve work across the service desk, infrastructure, security, identity, endpoint, and application operations. The result is faster resolutions, better uptime, and more proactive, personalized support, delivered 24/7.

In under a year we've raised over $100M from General Catalyst, 8VC, and CalPERS, acquired market‑leading MSPs like RFA, and put agents into production in large enterprises. We've automated 100K+ tickets across 400+ customers. Our tech team has talent from Scale AI, CoreWeave, Vanta, Dropbox, Meta, FiveRings, TwoSigma, Amazon, Harvard, Stanford, and MIT.

Joining Titan means helping redefine how work gets done in IT services, and building a $100B company.

About the Team

Managed AI is Titan's program for companies making AI part of how they run. We manage their new and existing AI platforms, advise their leadership on AI strategy and governance, and build custom agents, software and integrations. Our clients range from hedge funds to medical device makers, and each one brings new systems, workflows and problems to solve. Forward Deployed Engineers (Managed AI) are the builders behind it.

About the Role